Results 31 to 40 of about 4,442 (191)
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal [PDF]
, 2014 Unveiling meaningful geophysical information from seismic data requires to deal with both random and structured "noises". As their amplitude may be greater than signals of interest (primaries), additional prior information is especially important in ...
Chaux, Caroline +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 In seismic data processing, denoising and reconstruction are the two steps for identification of resources in the earth subsurface layers. The seismic data quality is affected by random noise and interference during acquisition.
Lakshmi Kuruguntla +4 more
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Energies, 2022 Optical fiber seismic exploration technology has been widely used in marine oil and gas hydrate exploration due to its wide frequency band and high sensitivity. However, there are more types of noise in the collected data by optical fiber hydrophone than
Hongfei Qian +3 more
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Inpainting of Cyclic Data using First and Second Order Differences [PDF]
, 2014 Cyclic data arise in various image and signal processing applications such as interferometric synthetic aperture radar, electroencephalogram data analysis, and color image restoration in HSV or LCh spaces.
Bergmann, Ronny, Weinmann, Andreas
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Hierarchical Bayesian sparse image reconstruction with application to MRFM [PDF]
, 2008 This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gaussian noise. Our hierarchical Bayes model is well suited to such naturally
Dobigeon, Nicolas +2 more
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Shock and Vibration, 2019 Due to complicated noise interference, seismic signals of high arch dam are of nonstationarity and a low signal-to-noise ratio (SNR) during acquisition process.
Bo Li +3 more
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A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation
Remote Sensing, 2022 Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been
Haixia Zhao, Tingting Bai, Zhiqiang Wang
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Multi-scale interactive network in the application of DAS seismic data processing
Frontiers in Earth Science, 2023 Distributed acoustic sensing (DAS) is regarded as a novel acquisition technology for seismic data. Compared with conventional electrical geophones, DAS has a series of obvious advantages including low-cost, high spatial resolution, good coverage, and ...
Hongzhou Wang +5 more
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M-estimate robust PCA for seismic noise attenuation [PDF]
, 2016 The robust principal component analysis (PCA) method has shown very promising results in seismic ambient noise attenuation when dealing with outliers in the data.
Akhondi-Asl, H, Nelson, JDB
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Seismic denoising using curvelet analysis
Physica A: Statistical Mechanics and its Applications, 2012 AbstractA curvelet is a new and effective spectral transform, that allows sparse representations of complex data. It has many applications in several fields, including denoising, wave propagation in disordered media and pattern recognition. This spectral technique is based on directional basis functions that represent objects having discontinuities ...
Oliveira, M.S. +4 more
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